Seismic Modeling ASEG 082001 Andrew Long


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Overview of various seismic modeling algorithms, and their applications.

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Seismic Modeling ASEG 082001 Andrew Long

  1. 1. Understanding elastic wavefield recording by detailed 3D survey planning and simulation * Andrew S. Long Hans-Jurgen Hoffmann Bingwen Du PGS Seres AS, Australia PGS Seres AS, Norway PGS Seres AS, Australia SUMMARY SUMMARY OF MODELLING TOOLS Elastic modelling of seismic wave propagation must be Everything always begins with a detailed understanding of the pursued with different algorithms to fully understand all seismic source, which for marine applications is typically an aspects of the recorded information. Modern seismic array of air guns fired in unison. The output pressure survey planning will utilize a suite of modelling tools, wavefield involves extremely complex mechanical and each incorporating the full acquisition system response thermodynamic phenomena. It is critical during any modeling for any given survey. Therefore, the user can exercise that the so-called far-field signature (an idealistic discriminate between acquisition and Earth effects upon description that can never quite be measured in the field) be the data. Survey planning no longer simply estimates the describable at any azimuth and source emission angle away basic configuration of the acquisition equipment. Every from the array. This is because of energy directivity effects, facet of the seismic method must be replicated and which correspond to the direction-dependent output of understood. Then the data implications of any given radiated energy. Directivity of both the source and receiver acquisition approach (streamer, land, ocean bottom arrays must be understood before considering any elastic sensor, vertical cable) can be understood and treated reflection process wherein amplitude varies with incidence throughout the entire processing and interpretation angle (i.e. recording offset). A thorough “true amplitude” workflow. In particular, the ability to accurately model processing sequence would correct for directivity effects the Earth reflectivity sequence is critical for AVO, before pursuing any kind of AVO-based analysis or elastic reservoir characterization and time-lapse studies. inversion scheme. The far-field signature is computed by a linear superposition of notional sources (with appropriate time After summarizing the main modelling algorithms, we shifts and spreading corrections), which are computed because describe their integrated use within survey planning of the fundamental fact that the output from an individual air exercises, with emphasis upon addressing the elastic gun in an array can never be directly measured in the field. properties of the recorded seismic wavefield. Interaction effects between the pressure wavefields of each air gun create a complex, time-varying phenomena. Therefore, a Key words: Modelling, elastic, acoustic, survey design. numerical integration procedure is required to infer the “notional” source from near-field and mid-field hydrophone measurements. Alternatively, it is possible to accurately INTRODUCTION model the notional sources using a physical modelling algorithm that accounts for the full time-varying output of any Wavefield propagation in an inhomogoneous medium is a specified source array. Sophisticated modeling algorithms complex phenomena, that must be understood if we are to have evolved since the pioneering work of Ziolkowski (1970). extract information about both the sedimentary structures of Current algorithms use a series of calibrations to controlled prospective hydrocarbon provinces, and the elastic properties deep fjord measurements of air guns fired in various of the rocks and fluids of interest. A cursory examination of configurations, and incorporating all interaction, historically published “seismic survey planning” literature thermodynamic and acquisition system responses. Such a yields an overwhelming emphasis upon fundamental modelling algorithm must be available for survey planning, so geometric issues – offset requirements, simple criteria for that any possible source array can be accurately simulated and estimating spatial sampling requirements, required record analyzed. lengths, etc. Such criteria are no longer sufficient, making simplistic and unrealistic assumptions about the Earth, and Likewise, it is essential to understand the full “system” shed no light upon the dynamic aspects of wave propagation. response of the recording hardware (hydrophones, geophones, Seismic survey planning is now a rigorous project that will arrays, streamers, ocean bottom sensors, vertical cables, incorporate all relevant knowledge of the geology, acquisition recording instruments, and any filters involved). Therefore, it systems, processing requirements and interpretation objectives should be possible to separate source and system effects upon – all accounted for whilst honouring geophysical integrity and the recorded seismic wavefield from the effects purely accuracy. We summarize modern state-of-the art tools and attributable to propagation through the Earth. We may then techniques that offer powerful insights into the application and focus upon describing the physical phenomena that affect our optimization of 3D seismic technology. For simplicity, we data – using a variety of Earth models and modeling will focus most attention upon marine seismic techniques. algorithms. It is this source-system-model description of the However, all the principles are equally relevant for land survey design process that must be the foundation for all seismic techniques. studies. th ASEG 15 Geophysical Conference and Exhibition, August 2001, Brisbane. Extended Abstracts
  2. 2. Understanding elastic wavefield recording for survey planning Long and Hoffmann It is essential to make a distinction at this point between likelihood displays (e.g. Figure 2) will provide the user with acoustic and elastic reflectivity. Theory states that after an understanding of the sensitivity of event reflectivity and ignoring some trivial thermodynamic processes, there are 21 AVO attributes to rock property variations. unique stress-strain relationships (or elastic rock constants) that are required to fully describe the deformation of an Ray tracing methods may be separated into two separate anisotropic material subject to a seismic impulse. For aspects: kinematic ray tracing (ray path geometry and arrival convenience, isotropic assumptions are typically made, times) and dynamic ray tracing (geometrical spreading reducing the requirement to only 2 constants (Bulk and Shear factors, wavefront curvature, and amplitude coefficients along Modulus). Each of the elastic moduli can be cast in terms of the ray paths). A layered 2D or 3D model is built, each layer instantaneous P- and S-wave velocities (Vp, Vs), and density, containing unique interval anisotropic elastic parameters. The as each of their vector values are a direct function of the three- ray path and traveltimes along a ray path within a continuous dimensional particle motion. Correspondingly, any non- block of a model are calculated by solving a series of normal incident seismic wave at an interface will always be differential equations (the kinematic ray tracing system). The comprised of reflected and transmitted P-waves and S-waves. velocity function in the block determines the ray behaviour, Therefore, mode conversions affect every reflection – which is e.g. a constant velocity (homogeneous layer) yields straight why any P-P AVO study based purely upon Vp information ray paths, whereas a linear velocity yields circular rays. When alone is inherently subject to inaccuracy. In the case of a the ray path and traveltimes have been calculated by a normal incidence P-wave at an interface, there will be no kinematic ray tracer, one may optionally use a dynamic ray traction force across the interface, and no conversion to tracer to calculate dynamic ray quantities (ray attributes). This reflected or transmitted S-wave energy. In this unique case calculation is performed along an established ray path, using a the reflection amplitudes are purely a function of the similar system of equations as used for the kinematic ray impedance contrast (impedance = Vp times density), and tracer. would be addressed by acoustic modelling. Clearly, any finite offset, full wavefield modeling exercise must be elastic. Ray tracing may be classified as an approximate solution to the general wave equation, valid for high frequencies (refer to There are essentially three main types of modeling techniques Cerveny, 1985). This means that the seismic wavelength must that are required to address all aspects of elastic seismic wave be considerably shorter than the “length of the smallest details propagation: 1. Recursive reflectivity methods based upon in the model”. Therefore, it may be a requirement that an Kennet (1983), 2. Ray tracing methods (e.g. Cerveny, 1985), interface(s) are smoothed prior to ray tracing. Most ray and 3. Full wavefield methods – which are typically based theoretical methods pertain to so-called geometrical rays, i.e. upon finite-differencing schemes (e.g. Virieux, 1989). following the geometrical law of reflection/transmission (Snell’s law) at all interfaces. Another ray family are Recursive reflectivity methods are typically “1D” in nature, diffracted rays, which follow Keller’s law of edge diffraction assuming a flat Earth model. However, they incorporate the at a pre-defined diffraction point, i.e. at a point where two of offset dimension, and are amenable for very accurate modeling the model interfaces intersect (refer to Klem-Musatov, 1994). and simulation of elastic CMP gathers. Source-receiver directivity, mode conversions, surface multiples, and interbed The power of the ray tracing method lies in the ability to multiples may each be selectively incorporated into the record all geometric aspects of each ray segment, including a modeling. Unlike ray tracing methods, which are a high multitude of associated dynamic parameters – these are frequency approximation to the wave equation, and break collectively referred to as ray attributes. For any given model down in the vicinity of the critical angle, recursive reflectivity interface, the distribution of reflection (P-P) or conversion (P- methods incorporate refraction energy. There is essentially no S) points, incidence/takeoff angles, and ray density statistics limit upon the number of, or thicknesses of layers within the can be analyzed in a variety of statistical and graphical specified model – each interval layer containing uniquely- fashions. In particular, illumination analyses (e.g. Figure 3) defined elastic parameters. However, due to the tau-p domain are a powerful tool that can be used for all types of seismic implementation of the method, run time can become excessive experiments, allowing the optimization of subsurface (P-P or with very complicated models. The method is ideal for P-S) fold coverage both prior to, or during an actual seismic addressing the full wavefield interplay between signal and experiment (assuming that appropriate a priori 3D structural noise upon recorded gathers, and for amplitude-based studies and elastic information is available for model building). Lima such as AVO modeling, fluid substitution, converted-wave (2000) describes the “real time” updating of a complex 3D feasibility studies, etc. Earth model during a production marine 3D seismic survey, using immersive visualization technology to QC the Most AVO feasibility studies will use the following vessel/streamer deployment for optimal fold coverage at the diagnostics: Comparison of real vs. modelled PP and PS AVO target depths. This approach is equally applicable to any curves, frequency-dependent thin layered target responses, and seismic technology – vertical cable, multi-component OBC, angle range gathers and stacks. The ability to calculate the land, etc. full frequency-dependent interaction of various seismic wavefields, even in the presence of thin layering, makes the Unfortunately, ray tracing methods are not ideal for detailed reflectivity method a valuable complement of any exercise. reflectivity or amplitude studies (e.g. AVO). Whilst the Furthermore, the incorporation of a rock physics modelling methods serve valuable functions for optimizing survey capability into the algorithm allows any relationships between geometries, investigating illumination and imaging challenges, rock properties and AVO attributes to be established for P-P and for contributing to a suite of seismic processing issues, or P-S data. By updating the elastic properties of discrete either recursive reflectivity methods (for simplified 1D Earth (target) layers within a 1D model, the user can generate a suite models) or “full wavefield” (usually finite-difference) methods of synthetic datasets. Then the use of AVO attribute cross- (for 2D and 3D Earth models) should be used. plots, AVO attribute histograms and AVO signature th ASEG 15 Geophysical Conference and Exhibition, August 2001, Brisbane. Extended Abstracts
  3. 3. Understanding elastic wavefield recording for survey planning Long and Hoffmann Although expensive, a fully visco-elastic (2D or 3D) finite- acquisition footprints, shooting direction etc., are all typically difference modelling program will simulate seismic wave addressed by dynamic 3D ray tracing and processing. General propagation in complex models with all wave types (P- and S- offset and spatial sampling requirements can be addressed by waves, refracted and converted waves, diffractions, multiples all the modelling methods, depending upon the complexity of and prism waves) and all couplings (reflections and primary and noise interference at larger offsets, and upon the transmissions) included. Source array directivity can also be detail of resolution and AVO criteria specified for the survey. incorporated. A grid-based Earth model is used, with assigned Each acquisition parameter is addressed individually by a attributes of P- and S-wave velocity, density, and P- and S- variety of real data and modelling tests, and an understanding wave absorption. The main cost in finite-difference modelling of the overall wavefield phenomena for the target area will is associated with the spatial step size used. As the step size develop. In areas of existing seismic data, incorporation of the increases, the maximum frequency achievable without real navigation data will increase the relevance of any numerical dispersion (fmax) decreases. While fmax is inversely modelling results. proportional to the grid step size, computational cost increases cubically for 2D, and quartically for 3D. Therefore, such High-end studies involving reservoir characterization, fracture modelling should be pursued judiciously, using source and analysis and reservoir monitoring feasibility studies all require receiver configurations that have been optimized by (much the full wavefield modelling power of 2D and 3D visco-elastic cheaper) ray tracing exercises with the same Earth model. finite difference algorithms, and will involve comprehensive log analysis, rock physics investigation, and seismic No attributes are produced by finite-difference modelling, modelling, greatly expanding upon the scope of exploration- however, wavefield snapshots can be output from any stage of scale survey planning wave propagation, allowing an improved understanding of the complex phenomena involved. Synthetic data recorded will CONCLUSIONS yield the highest possible simulation of the full wavefield, and the technique is ideal for studies of P-P/P-S attenuation, Seismic survey planning has evolved to become a complex anisotropy and fracture analysis (when appropriately process that must incorporate all available geological and programmed). geophysical data for a study (survey) area, and will demand a comprehensive understanding of wave propagation principles. Figure 1 compares a single shot gather recorded from the same Depending upon the nature and complexity of the study, the model, as yielded by reflectivity, ray tracing and finite- effort required will correspondingly vary, however, at all difference modelling. In each case elastic mode conversions times, a full consideration of the elastic characteristics of the are allowed, and primaries only (no multiples) are allowed. recorded seismic wavefield must be honoured. Overall, the key is that a comprehensive suite of elastic modelling tools are INTEGRATION OF TOOLS FOR SURVEY PLANNING available, all incorporating the source-system-model concept, and all equally able to simulate the full range of acquisition Using the source-system-model approach at all times, a typical approaches possible (multi-source, multi-streamer systems, survey planning exercise begins with the assimilation of all ocean bottom sensors, vertical cables and fixed geometries). available geological and geophysical data. Ideally, a full suite of well logs will be provided, enabling an accurate reflectivity REFERENCES analysis of the seismic response and resolution of the target lithology and fluid characteristics. Such studies are of Cerveny, V., 1985, The application of numerical modelling of particular significance for converted-wave ocean bottom cable seismic wavefields in complex structures, In: Seismic shear (4C OBC) surveys, where we seek to understand the waves, Part A: Theory, (Ed.) G. Dohr, Handbook of difference between P-P and P-S reflection events. Any geophysical exploration, (Eds.), K. Helbig and S. Treitel, existing seismic data of relevance will be incorporated into the Geophysical Press, London, p. 1-124. analyses at this stage, as there is no substitute for real data that incorporates the full wavefield response of the target Earth Kennet, B., 1983, Seismic wave propagation in stratified model. However, the use of real data in the overall survey media, Cambridge University Press planning scheme is typically limited, as we are strongly constrained by the acquisition parameters used, which will Klem-Musatov, K., 1994, Theory of seismic diffractions, likely be quite different to those for any new survey. 4C OBS (Eds.) F. Hron and L. Lines, SEG, Tulsa, OK, USA. survey planning will almost always have no precedent, which is why the availability of full wavefield logs (including S- Lima, Y., 2000, Using VR tools to quality control seismic wave sonics) is critical. For all survey planning scenarios, the acquisition surveys, Offshore, August, 136. unavailability of full log data will demand some kind of prediction of the elastic model parameters, and consequently, Virieux, J., 1989, P-SV wave propagation in heterogeneous the integrity of all (P-P and P-S) reflectivity and AVO results media: Velocity-stress finite difference method, Geophysics will be at best approximate. 51, 4, 889-901. A suite of 2D and 3D elastic models are then constructed, the Ziolkowski, A., 1970, A method for calculating the output complexity and accuracy of which are dictated by the amount pressure waveform from an air gun, Geophys. J. R. Astr. Soc. of available data for model building. It is often the case that a 21, 137-161. new 3D survey will occur in a relatively virgin area, so the models built will be by necessity simplistic, and the experience and technical skill of the survey planning geophysicists will be of particular importance. Fundamental 3D issues like subsurface fold and illumination, analyses of th ASEG 15 Geophysical Conference and Exhibition, August 2001, Brisbane. Extended Abstracts
  4. 4. Figure 1. Example of the synthetic shot gathers output from the three main modelling algorithms. Using the simple elastic 1D model on the left in all cases, the results are shown (from left to right) from 1D reflectivity, 2D dynamic ray tracing, and 2D visco-elastic finite-difference modelling. Note that ray tracing is by far the fastest method, but yields the least events. In contrast, finite difference modelling is the most expensive, but yields the most complete representation of the full wavefield. Figure 2. Example PP (left) and PS (right) AVO likelihood plots for a target reservoir horizon. Such analyses can be used for a 1D elastic model based upon well log data. Integration of rock physics programs can be used to pursue fluid substitution and lithology perturbation studies at discrete intervals, and the generation of a suite of synthetic data and diagnostic displays such as those shown here. PP-waves PS-converted waves Figure 3. Example PP and PS reflection strength at the top of an anticlinal feature. This result is derived from dynamic 3D ray tracing, and simulates the ideal migrated amplitude response at the target horizon. Note the differences in illumination due to the fundamental differences in PP and PS ray path geometries. The “ring” of sparse illumination in both cases corresponds to the pinchout of onlapping strata in the full 3D model (only the target horizon is plotted here). th ASEG 15 Geophysical Conference and Exhibition, August 2001, Brisbane. Extended Abstracts